Jinge Shi, Yi Chen, Zhennao Cai, Ali Asghar Heidari, Huiling Chen
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Single Solution Optimization Mechanism of Teaching-Learning-Based Optimization with Weighted Probability Exploration for Parameter Estimation of Photovoltaic Models
This article presents a novel optimization approach called RSWTLBO for accurately identifying unknown parameters in photovoltaic (PV) models. The objective is to address challenges related to the detection and maintenance of PV systems and the improvement of conversion efficiency. RSWTLBO combines adaptive parameter w, Single Solution Optimization Mechanism (SSOM), and Weight Probability Exploration Strategy (WPES) to enhance the optimization ability of TLBO. The algorithm achieves a balance between exploitation and exploration throughout the iteration process. The SSOM allows for local exploration around a single solution, improving solution quality and eliminating inferior solutions. The WPES enables comprehensive exploration of the solution space, avoiding the problem of getting trapped in local optima. The algorithm is evaluated by comparing it with 10 other competitive algorithms on various PV models. The results demonstrate that RSWTLBO consistently achieves the lowest Root Mean Square Errors on single diode models, double diode models, and PV module models. It also exhibits robust performance under varying irradiation and temperature conditions. The study concludes that RSWTLBO is a practical and effective algorithm for identifying unknown parameters in PV models.
期刊介绍:
The Journal of Bionic Engineering (JBE) is a peer-reviewed journal that publishes original research papers and reviews that apply the knowledge learned from nature and biological systems to solve concrete engineering problems. The topics that JBE covers include but are not limited to:
Mechanisms, kinematical mechanics and control of animal locomotion, development of mobile robots with walking (running and crawling), swimming or flying abilities inspired by animal locomotion.
Structures, morphologies, composition and physical properties of natural and biomaterials; fabrication of new materials mimicking the properties and functions of natural and biomaterials.
Biomedical materials, artificial organs and tissue engineering for medical applications; rehabilitation equipment and devices.
Development of bioinspired computation methods and artificial intelligence for engineering applications.